<!DOCTYPE html>
<html>

<head>
    <meta charset="UTF-8">
    <title>统一地图平台</title><link rel="shortcut icon" href="favicon.ico" type="image/x-icon" />
    <style>
        html,
        body,
        #mapui {
            margin: 0 auto;
            width: 100%;
            height: 100%
        }

        html,
        body {
            margin: 0;
            overflow: hidden;
            background: #fff;
            width: 100%;
            height: 100%;
            position: absolute;
            top: 0;
        }
    </style>

</head>

<body>
    <div id="mapui"></div>

    <script src="./js_example/script/map.min.js"></script>
    <script src="./js_example/script/demo.js"></script>
    
    <script>
        var chart, div, popup = '';
        var resources = {
            "text_great": "优",
            "text_good": "良",
            "text_mildPollution": "轻度污染",
            "text_moderatePollution": "中度污染",
            "text_heavyPollution": "重度污染",
            "text_severePollution": "严重污染",
            "text_AQIindex": "AQI指数",
            "text_CO": "一氧化碳（CO）",
            "text_NO2": "二氧化氮（NO2）",
            "text_SO2": "二氧化硫（SO2）",
            "text_data": "日期",
            "text_SO2text": "明暗：二氧化硫",
            "text_roundSize": "圆形大小：PM2.5",
            "text_day1": "",
            "text_day2": "日：",
        }
        var option = null;
        var amap = null;
        var that = this;

        var dataBJ = [
            [1, 55, 9, 56, 0.46, 18, 6, resources.text_good],
            [2, 25, 11, 21, 0.65, 34, 9, resources.text_great],
            [3, 56, 7, 63, 0.3, 14, 5, resources.text_good],
            [4, 33, 7, 29, 0.33, 16, 6, resources.text_great],
            [5, 42, 24, 44, 0.76, 40, 16, resources.text_great],
            [6, 82, 58, 90, 1.77, 68, 33, resources.text_good],
            [7, 74, 49, 77, 1.46, 48, 27, resources.text_good],
            [8, 78, 55, 80, 1.29, 59, 29, resources.text_good],
            [9, 267, 216, 280, 4.8, 108, 64, resources.text_heavyPollution],
            [10, 185, 127, 216, 2.52, 61, 27, resources.text_moderatePollution],
            [11, 39, 19, 38, 0.57, 31, 15, resources.text_great],
            [12, 41, 11, 40, 0.43, 21, 7, resources.text_great],
            [13, 64, 38, 74, 1.04, 46, 22, resources.text_good],
            [14, 108, 79, 120, 1.7, 75, 41, resources.text_mildPollution],
            [15, 108, 63, 116, 1.48, 44, 26, resources.text_mildPollution],
            [16, 33, 6, 29, 0.34, 13, 5, resources.text_great],
            [17, 94, 66, 110, 1.54, 62, 31, resources.text_good],
            [18, 186, 142, 192, 3.88, 93, 79, resources.text_moderatePollution],
            [19, 57, 31, 54, 0.96, 32, 14, resources.text_good],
            [20, 22, 8, 17, 0.48, 23, 10, resources.text_great],
            [21, 39, 15, 36, 0.61, 29, 13, resources.text_great],
            [22, 94, 69, 114, 2.08, 73, 39, resources.text_good],
            [23, 99, 73, 110, 2.43, 76, 48, resources.text_good],
            [24, 31, 12, 30, 0.5, 32, 16, resources.text_great],
            [25, 42, 27, 43, 1, 53, 22, resources.text_great],
            [26, 154, 117, 157, 3.05, 92, 58, resources.text_moderatePollution],
            [27, 234, 185, 230, 4.09, 123, 69, resources.text_heavyPollution],
            [28, 160, 120, 186, 2.77, 91, 50, resources.text_moderatePollution],
            [29, 134, 96, 165, 2.76, 83, 41, resources.text_mildPollution],
            [30, 52, 24, 60, 1.03, 50, 21, resources.text_good],
            [31, 46, 5, 49, 0.28, 10, 6, resources.text_great]
        ];

        var dataGZ = [
            [1, 26, 37, 27, 1.163, 27, 13, resources.text_great],
            [2, 85, 62, 71, 1.195, 60, 8, resources.text_good],
            [3, 78, 38, 74, 1.363, 37, 7, resources.text_good],
            [4, 21, 21, 36, 0.634, 40, 9, resources.text_great],
            [5, 41, 42, 46, 0.915, 81, 13, resources.text_great],
            [6, 56, 52, 69, 1.067, 92, 16, resources.text_good],
            [7, 64, 30, 28, 0.924, 51, 2, resources.text_good],
            [8, 55, 48, 74, 1.236, 75, 26, resources.text_good],
            [9, 76, 85, 113, 1.237, 114, 27, resources.text_good],
            [10, 91, 81, 104, 1.041, 56, 40, resources.text_good],
            [11, 84, 39, 60, 0.964, 25, 11, resources.text_good],
            [12, 64, 51, 101, 0.862, 58, 23, resources.text_good],
            [13, 70, 69, 120, 1.198, 65, 36, resources.text_good],
            [14, 77, 105, 178, 2.549, 64, 16, resources.text_good],
            [15, 109, 68, 87, 0.996, 74, 29, resources.text_mildPollution],
            [16, 73, 68, 97, 0.905, 51, 34, resources.text_good],
            [17, 54, 27, 47, 0.592, 53, 12, resources.text_good],
            [18, 51, 61, 97, 0.811, 65, 19, resources.text_good],
            [19, 91, 71, 121, 1.374, 43, 18, resources.text_good],
            [20, 73, 102, 182, 2.787, 44, 19, resources.text_good],
            [21, 73, 50, 76, 0.717, 31, 20, resources.text_good],
            [22, 84, 94, 140, 2.238, 68, 18, resources.text_good],
            [23, 93, 77, 104, 1.165, 53, 7, resources.text_good],
            [24, 99, 130, 227, 3.97, 55, 15, resources.text_good],
            [25, 146, 84, 139, 1.094, 40, 17, resources.text_mildPollution],
            [26, 113, 108, 137, 1.481, 48, 15, resources.text_mildPollution],
            [27, 81, 48, 62, 1.619, 26, 3, resources.text_good],
            [28, 56, 48, 68, 1.336, 37, 9, resources.text_good],
            [29, 82, 92, 174, 3.29, 0, 13, resources.text_good],
            [30, 106, 116, 188, 3.628, 101, 16, resources.text_mildPollution],
            [31, 118, 50, 0, 1.383, 76, 11, resources.text_mildPollution]
        ];

        var dataSH = [
            [1, 91, 45, 125, 0.82, 34, 23, resources.text_good],
            [2, 65, 27, 78, 0.86, 45, 29, resources.text_good],
            [3, 83, 60, 84, 1.09, 73, 27, resources.text_good],
            [4, 109, 81, 121, 1.28, 68, 51, resources.text_mildPollution],
            [5, 106, 77, 114, 1.07, 55, 51, resources.text_mildPollution],
            [6, 109, 81, 121, 1.28, 68, 51, resources.text_mildPollution],
            [7, 106, 77, 114, 1.07, 55, 51, resources.text_mildPollution],
            [8, 89, 65, 78, 0.86, 51, 26, resources.text_good],
            [9, 53, 33, 47, 0.64, 50, 17, resources.text_good],
            [10, 80, 55, 80, 1.01, 75, 24, resources.text_good],
            [11, 117, 81, 124, 1.03, 45, 24, resources.text_mildPollution],
            [12, 99, 71, 142, 1.1, 62, 42, resources.text_good],
            [13, 95, 69, 130, 1.28, 74, 50, resources.text_good],
            [14, 116, 87, 131, 1.47, 84, 40, resources.text_mildPollution],
            [15, 108, 80, 121, 1.3, 85, 37, resources.text_mildPollution],
            [16, 134, 83, 167, 1.16, 57, 43, resources.text_mildPollution],
            [17, 79, 43, 107, 1.05, 59, 37, resources.text_good],
            [18, 71, 46, 89, 0.86, 64, 25, resources.text_good],
            [19, 97, 71, 113, 1.17, 88, 31, resources.text_good],
            [20, 84, 57, 91, 0.85, 55, 31, resources.text_good],
            [21, 87, 63, 101, 0.9, 56, 41, resources.text_good],
            [22, 104, 77, 119, 1.09, 73, 48, resources.text_mildPollution],
            [23, 87, 62, 100, 1, 72, 28, resources.text_good],
            [24, 168, 128, 172, 1.49, 97, 56, resources.text_moderatePollution],
            [25, 65, 45, 51, 0.74, 39, 17, resources.text_good],
            [26, 39, 24, 38, 0.61, 47, 17, resources.text_great],
            [27, 39, 24, 39, 0.59, 50, 19, resources.text_great],
            [28, 93, 68, 96, 1.05, 79, 29, resources.text_good],
            [29, 188, 143, 197, 1.66, 99, 51, resources.text_moderatePollution],
            [30, 174, 131, 174, 1.55, 108, 50, resources.text_moderatePollution],
            [31, 187, 143, 201, 1.39, 89, 53, resources.text_moderatePollution]
        ];

        var schema = [
            { name: 'date', index: 0, text: "日" },
            { name: 'AQIindex', index: 1, text: resources.text_AQIindex },
            { name: 'PM25', index: 2, text: 'PM2.5' },
            { name: 'PM10', index: 3, text: 'PM10' },
            { name: 'CO', index: 4, text: resources.text_CO },
            { name: 'NO2', index: 5, text: resources.text_NO2 },
            { name: 'SO2', index: 6, text: resources.text_SO2 }
        ];

        var dataMap = { "北京市": dataBJ, "广州市": dataGZ, "上海市": dataSH };

        var colorMap = { "北京市": '#dd4444', "广州市": '#fec42c', "上海市": '#80F1BE' };
        var itemStyle = {
            normal: {
                opacity: 0.8,
                shadowBlur: 10,
                shadowOffsetX: 0,
                shadowOffsetY: 0,
                shadowColor: 'rgba(0, 0, 0, 0.5)'
            }
        };

        option = {
            backgroundColor: '#404a59',
            color: [
                '#dd4444'
            ],
            legend: {
                y: 'top',
                data: ['北京市'],
                textStyle: {
                    color: '#fff',
                    fontSize: 16
                },
                selectedMode: 'single'
            },
            grid: {
                x: '10%',
                x2: 150,
                y: '18%',
                y2: '10%'
            },
            tooltip: {
                padding: 10,
                backgroundColor: '#222',
                borderColor: '#777',
                borderWidth: 1,
                formatter: function (obj) {
                    var value = obj.value;
                    return '<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">'
                        + obj.seriesName + ' ' + resources.text_day1 + value[0] + resources.text_day2
                        + value[7]
                        + '</div>'
                        + schema[1].text + '：' + value[1] + '<br>'
                        + schema[2].text + '：' + value[2] + '<br>'
                        + schema[3].text + '：' + value[3] + '<br>'
                        + schema[4].text + '：' + value[4] + '<br>'
                        + schema[5].text + '：' + value[5] + '<br>'
                        + schema[6].text + '：' + value[6] + '<br>';
                }
            },
            xAxis: {
                type: 'value',
                name: resources.text_data,
                nameGap: 16,
                nameTextStyle: {
                    color: '#fff',
                    fontSize: 14
                },
                max: 31,
                splitLine: {
                    show: false
                },
                axisLine: {
                    lineStyle: {
                        color: '#eee'
                    }
                }
            },
            yAxis: {
                type: 'value',
                name: resources.text_AQIindex,
                nameLocation: 'end',
                nameGap: 20,
                nameTextStyle: {
                    color: '#fff',
                    fontSize: 16
                },
                axisLine: {
                    lineStyle: {
                        color: '#eee'
                    }
                },
                splitLine: {
                    show: false
                }
            },
            visualMap: [
                {
                    left: 'right',
                    top: '5%',
                    dimension: 2,
                    min: 0,
                    max: 250,
                    itemWidth: 20,
                    itemHeight: 80,
                    calculable: true,
                    precision: 0.1,
                    text: [resources.text_roundSize],
                    textGap: 20,
                    textStyle: {
                        color: '#fff'
                    },
                    inRange: {
                        symbolSize: [10, 70]
                    },
                    outOfRange: {
                        symbolSize: [10, 70],
                        color: ['rgba(255,255,255,.2)']
                    },
                    controller: {
                        inRange: {
                            color: ['#c23531']
                        },
                        outOfRange: {
                            color: ['#444']
                        }
                    }
                },
                {
                    left: 'right',
                    bottom: '5%',
                    dimension: 6,
                    min: 0,
                    max: 50,
                    itemHeight: 80,
                    itemWidth: 20,
                    calculable: true,
                    precision: 0.1,
                    text: [resources.text_SO2text],
                    textGap: 20,
                    textStyle: {
                        color: '#fff'
                    },
                    inRange: {
                        colorLightness: [1, 0.5]
                    },
                    outOfRange: {
                        color: ['rgba(255,255,255,.2)']
                    },
                    controller: {
                        inRange: {
                            color: ['#c23531']
                        },
                        outOfRange: {
                            color: ['#444']
                        }
                    }
                }
            ],
            series: [
                {
                    name: '北京市',
                    type: 'scatter',
                    itemStyle: itemStyle,
                    data: dataBJ
                }
            ]
        };
        div = document.createElement('div');


        map.Factory.create('mapui', {
            center: [116.402, 39.905],
            fullExtent: {
                xmin: 90.992204,
                ymin: 10.979711,
                xmax: 120.5338915,
                ymax: 50.543712
            },
            zoom: 3.5,
            projection: 'EPSG:4326',
            strategy: ['mapboxgl', 'openlayers'],
            style: style
        }, (o) => {
            amap = o;
            map.Factory.loadSpecialMap('echarts', () => {
                that.init(amap.pmap);
            })
        });


        function init(map) {
            chart = echarts.init(div, '', {
                width: 450,
                height: 350
            });

            chart.setOption(option);
            map.loadImage('./js_thematic_map_example/images/marker-icon.png', function (error, image) {
                if (error) throw error;
                map.addImage('positionPoint', image);
            });
            this.query(map);
        }

        function query(map) {
            var recordsets = [{ "datasetName": "China_ProCenCity_pt@China", "features": { "type": "FeatureCollection", "features": [{ "type": "Feature", "properties": { "SmID": "16", "SmX": "1.2607962173437864E7", "SmY": "2647870.7767329095", "SmLibTileID": "1", "SmUserID": "0", "SmGeometrySize": "20", "SmGeoPosition": "12026156", "CLASS": "AD", "NAME": "广州市", "PINYIN": "Guangzhou Shi", "GNID": "440100", "XZNAME": "", "Field_SmGeoPosition": "-1" }, "geometry": { "type": "Point", "coordinates": [113.25925122000014, 23.13101816432765] }, "id": 16 }, { "type": "Feature", "properties": { "SmID": "31", "SmX": "1.3521945890529728E7", "SmY": "3663107.71662176", "SmLibTileID": "1", "SmUserID": "0", "SmGeometrySize": "20", "SmGeoPosition": "12026456", "CLASS": "AB", "NAME": "上海市", "PINYIN": "Shanghai Shi", "GNID": "310000", "XZNAME": "", "Field_SmGeoPosition": "2652824" }, "geometry": { "type": "Point", "coordinates": [121.46970664500009, 31.23347603917659] }, "id": 31 }] }, "fieldCaptions": ["SmID", "SmX", "SmY", "SmLibTileID", "SmUserID", "SmGeometrySize", "SmGeoPosition", "CLASS", "NAME", "PINYIN", "GNID", "XZNAME", "SmGeoPosition"], "fieldTypes": ["INT32", "DOUBLE", "DOUBLE", "INT32", "INT32", "INT32", "INT64", "WTEXT", "WTEXT", "WTEXT", "WTEXT", "WTEXT", "INT64"], "fields": ["SmID", "SmX", "SmY", "SmLibTileID", "SmUserID", "SmGeometrySize", "SmGeoPosition", "CLASS", "NAME", "PINYIN", "GNID", "XZNAME", "Field_SmGeoPosition"] }, { "datasetName": "China_Capital_pt@China", "features": { "type": "FeatureCollection", "features": [{ "type": "Feature", "properties": { "SmID": "1", "SmX": "1.2957801616844445E7", "SmY": "4852151.575504352", "SmLibTileID": "1", "SmUserID": "0", "SmGeometrySize": "20", "SmGeoPosition": "11894784", "CLASS": "AB", "NAME": "北京市", "PINYIN": "Beijing Shi", "GNID": "110000", "XZNAME": "", "Field_SmGeoPosition": "-1" }, "geometry": { "type": "Point", "coordinates": [116.40191241000012, 39.905033414083526] }, "id": 1 }] }, "fieldCaptions": ["SmID", "SmX", "SmY", "SmLibTileID", "SmUserID", "SmGeometrySize", "SmGeoPosition", "CLASS", "NAME", "PINYIN", "GNID", "XZNAME", "SmGeoPosition"], "fieldTypes": ["INT32", "DOUBLE", "DOUBLE", "INT32", "INT32", "INT32", "INT64", "WTEXT", "WTEXT", "WTEXT", "WTEXT", "WTEXT", "INT64"], "fields": ["SmID", "SmX", "SmY", "SmLibTileID", "SmUserID", "SmGeometrySize", "SmGeoPosition", "CLASS", "NAME", "PINYIN", "GNID", "XZNAME", "Field_SmGeoPosition"] }]
            features = recordsets && recordsets[0] && recordsets[0].features;
            var featureCollection = features.features;
            var feature = recordsets[1].features.features;
            featureCollection.push(feature[0]);

            var fs = {
                features: featureCollection,
                type: "FeatureCollection"
            };

            map.addLayer({
                "id": "points",
                "type": "symbol",
                "layout": {
                    "icon-image": "positionPoint",
                    "icon-size": 0.8,
                    "icon-offset": [0, -15] //设置偏移量
                },
                "source": {
                    "type": "geojson",
                    "data": fs
                }
            });

            map.on('click', 'points', function (e) {

                popup = new mapboxgl.Popup({ maxWidth: 'none' });
                popup.setLngLat(e.lngLat.toArray())
                    .setDOMContent(div) // sets a popup on this marker
                    .addTo(map);

                var city = e.features[0].properties.NAME;
                chart.setOption({
                    color: [
                        colorMap[city]
                    ],
                    legend: {
                        data: [city]
                    },
                    series: [
                        {
                            name: city,
                            type: 'scatter',
                            itemStyle: itemStyle,
                            data: dataMap[city]
                        }
                    ]
                });

            });
        }

    </script>
</body>

</html>